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industrial partners, integrate into existing workflows, and support the timely delivery of project outputs. Your work will involve contributing to research, development, and experimental activities, as
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contributions to the development of robust monitoring and damage assessment tools for complex industrial structures. Applicants having an appropriate background in natural or engineering sciences should be able
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or equivalent). A publication record is a plus. In-depth knowledge of plant reproductive development and a strong background in plant genetics, biology, and/or crop breeding. Hands-on experience with or a strong
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of Antwerp. See also: https://remotesensing.vito.be/news/sspirit-tackling-plastic-pollution The main task of the KU Leuven PhD project will be the further development and validation of a two versatile
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Kulak (https://kulak.kuleuven.be/ ), where you demonstrate active engagement in interdisciplinary collaboration, both internationally and with colleagues on campus, within the faculty, and/or within
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citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
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economics Economics » Cyclical economics Economics » Econometrics Economics » Economic policy Economics » Economic systems Economics » Economic theory Economics » Economics of development Economics
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from an extensive network of international scientific collaborators, providing excellent opportunities for interdisciplinary project work and fostering long-term career development. For more information
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. The opportunity to build up research and innovation skills that are essential for a future career in research and development, both in an industrial and academic context. Funding is secured for four years. A
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of data analysis, time series analysis, machine learning and algorithm development. have knowledge on machine learning with Python or MATLAB. are very fluent in English, both spoken and written. possess